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Closed on July 11, 2026.
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Sr. AI & Data Engineer–Trading Analytics
Ai Ml
Analytics
Artificial Intelligence
Big Data
Bigdata
Data Analysis
Data Analytics
Data Engineer
Data Pipeline
Data Platform
Databricks
DevOps
Financial Analytics
Spark
SQL
Time Series
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Job Description
Shell Energy seeks a senior AI and data engineer to design and productionize AI powered analytics for front office trading in Houston, blending Databricks data engineering with GenAI workflows.
RESPONSIBILITIES
- Develop AI driven analytics for traders and analysts, including seasonal analyses, correlations, regressions, forecasts, and scenario modelling over pricing and fundamentals data
- Collaborate with traders and analysts to translate vague business questions into clear analytical problems and practical solutions
- Present analytical outputs and AI generated insights to commercial stakeholders in an actionable format
- Build and maintain scalable, reusable data pipelines on Databricks using PySpark/Spark, SQL, Delta Lake, and Unity Catalog
- Ingest, model, and transform large scale time series pricing and fundamentals datasets
- Improve pipeline performance, reliability, and cost efficiency while adhering to platform and data governance standards
- Develop GenAI and agent based solutions to support trading analytics, including RAG, prompt engineering, and agent orchestration with LangGraph
- Implement tool calling and guardrails within AI workflows and integrate LLM based processes with structured market data
- Prototype solutions quickly, collect user feedback, and harden selected use cases for production deployment
- Contribute to production ready analytics and AI solutions with testing, documentation, versioning, and basic observability
- Follow CI/CD and DevOps practices with Git based workflows and automated testing
- Support governance requirements such as PII handling, data lineage, and auditability in line with Trading & Supply standards
REQUIREMENTS
- Authorized to work in the United States on a full-time basis without employer sponsorship
- Bachelor’s degree or equivalent relevant years of experience
- Minimum 10 years of relevant experience
- Hands on experience with Databricks and/or Spark (PySpark, SQL, Delta Lake; Unity Catalog desirable)
- Proven data engineering skills including pipeline development, data modelling, and performance optimization
- Solid foundation in statistics, econometrics, or data science with application to time-series or market style datasets
- Practical experience building or contributing to LLM based solutions, including prompt engineering and retrieval based approaches
- Familiarity with GenAI frameworks and tooling (for example LangGraph or similar orchestration patterns)
- Experience working in collaborative engineering teams using Git and CI/CD pipelines
- Strong communication skills and ability to work directly with analysts, traders, and business stakeholders
- Exposure to commodity or financial trading environments
- Understanding of market fundamentals, supply-demand dynamics, or risk concepts
- Experience with MLflow, feature stores, or vector databases
- Familiarity with working in regulated or risk sensitive environments
TECHNOLOGIES
- Databricks
- PySpark
- Spark
- SQL
- Delta Lake
- Unity Catalog
- LangGraph
- Git
- CI/CD
- MLflow
BENEFITS
- Health insurance: medical, dental, and vision coverage
- Life Insurance
- Business Travel Accident Insurance
- Occupational Accidental Death Benefit programs
- Pension plan
- 401(k) plan
- Paid leave: up to 6 weeks of paid vacation and up to 11 paid holidays
- Parental leave: 16 weeks for birthing parents, 8 weeks for non-birthing parents
- Short-term disability leave up to 26 weeks at 100% or 50% of base pay
- Long-Term Disability insurance
- Financial reimbursement for adoption, wellness, education, and personal learning expenses
- Discretionary long-term incentives
- Intern benefits include medical, dental, and vision coverage, life insurance, BTA, Occupational Accidental Death Benefit programs; 401(k) plan; and paid leave for up to 11 holidays
- Flexible working hours and the possibility of remote/mobile working
WHAT WE OFFER
- Salary range: USD 149,000 - 223,000 per year
- Insurance coverage options: medical, dental, vision, life Insurance, Business Travel Accident Insurance, and Occupational Accidental Death Benefit programs
- Pension plan and 401(k) plan availability
- Paid leave: up to 6 weeks of paid vacation, up to 11 holidays; parental leave of 16 weeks for birthing parents and 8 weeks for non-birthing parents
- Short-term disability up to 26 weeks at 100% or 50% of base pay, plus Long-Term Disability insurance
- Financial reimbursement for adoption, wellness, education, and personal learning expenses
- Discretionary long-term incentives
- Flexible working hours and potential for remote/mobile work
- Intern benefits include eligible coverage and 401(k) participation; up to 11 paid holidays